// TEST DATA
// Keyed by mocha test ID
// Python code for generating test data can be found in the matching jupyter notebook in folder `notebooks/`.

;(function() {
  var DATA = {
    'convolutional.Conv2D.0': {
      input: {
        shape: [5, 5, 2],
        data: [
          -0.990562,
          -0.756862,
          0.341498,
          0.651706,
          -0.726587,
          0.150187,
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          -0.880116,
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          -0.428209,
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          0.950013,
          0.769707,
          -0.280984,
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        ]
      },
      expected: {
        shape: [3, 3, 4],
        data: [
          1.881069,
          1.507598,
          -0.42648,
          0.981946,
          -1.295304,
          -2.802102,
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          -2.902777,
          -0.663609,
          -1.414437,
          -4.081861,
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        ]
      },
      weights: [
        {
          shape: [3, 3, 2, 4],
          data: [
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        },
        { shape: [4], data: [0.08681, -0.443261, -0.150965, 0.689552] }
      ]
    },
    'convolutional.Conv2D.1': {
      input: {
        shape: [5, 5, 2],
        data: [
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      },
      expected: {
        shape: [3, 3, 4],
        data: [
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      },
      weights: [
        {
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          data: [
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          ]
        }
      ]
    },
    'convolutional.Conv2D.2': {
      input: {
        shape: [5, 5, 2],
        data: [
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      },
      expected: {
        shape: [2, 2, 4],
        data: [
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      },
      weights: [
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        },
        { shape: [4], data: [0.195363, 0.351974, -0.401437, 0.461481] }
      ]
    },
    'convolutional.Conv2D.3': {
      input: {
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        data: [
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      },
      expected: {
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        data: [
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      weights: [
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})()
